Robust stability of a class of networked control systems
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Publication:2409289
DOI10.1016/j.automatica.2016.06.026zbMath1372.93156OpenAlexW2510874354MaRDI QIDQ2409289
Daniel E. Quevedo, Merid Lješnjanin, Dragan Nešić
Publication date: 11 October 2017
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://eprints.qut.edu.au/198409/1/15_0631_05_MS.pdf
schedulingmodel predictive controlpacket dropoutsnetworked control systemuniform global asymptotic stability
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Cites Work
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- On Kalman filtering over fading wireless channels with controlled transmission powers
- Packetized MPC with dynamic scheduling constraints and bounded packet dropouts
- Model predictive control for constrained networked systems subject to data losses
- Stability of Kalman filtering with Markovian packet losses
- Formulas relating \(K{\mathcal L}\) stability estimates of discrete-time and sampled-data nonlinear systems
- Numerical nonlinear regulator design
- A smooth Lyapunov function from a class-${\mathcal{KL}}$ estimate involving two positive semidefinite functions
- Energy Efficient State Estimation With Wireless Sensors Through the Use of Predictive Power Control and Coding
- Stochastic MPC with applications to process control
- Kalman Filtering With Intermittent Observations
- Model predictive control: for want of a local control Lyapunov function, all is not lost
- Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis
- On the Robustness of $\mathcalKL$-stability for Difference Inclusions: Smooth Discrete-Time Lyapunov Functions
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